Investigate patterns, representation, and omissions
Make data, patterns, and limitations visible in a classroom lesson.
Use this lesson with the “Teach how AI learns from examples” skill builder. Allow about 45 minutes for reading and practice; provider training is additional.
1. Learn the principle
Help learners distinguish a pattern produced by a model from a fair or complete account of the world. Ask whose examples may be missing and how to examine the output.
2. Study a worked example
An AI career story repeatedly assigns technical roles to one demographic group. Discuss the pattern, look for missing perspectives, and rewrite with varied examples rather than treating the output as a fact.
3. Practice with your own example
Prepare three fictional model outputs. Identify a repeated assumption, gather counterexamples, and write an exit question about limitations and representation.
Produce: A short AI literacy lesson and reflection prompt.
Review your work: Learners can explain why examples affect predictions and identify one limitation.
4. Check your understanding
Should a model’s repeated pattern be taught as evidence about a group?
Reveal the explanation after you answer
No. Investigate the assumptions and evidence, and discuss why generated patterns can misrepresent people.
5. Extend the skill
Connect the activity to a grade-appropriate lesson about training examples and model predictions.
Continue with an official resource
Code.org / CodeAI curriculum and professional learning ↗
The lesson above is an original NextGen-AI practice guide. The external link is supplementary provider training, documentation, or curriculum; it is not required to access this lesson. Providers control accounts, pricing, and course availability.
Return to your learning plan
If this lesson opened in a new tab, return to the assessment tab to keep your current answers. Review your resource, mark the exercise complete there, and take the ending survey once all three exercises are complete. Save progress in the assessment before closing that tab.
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